{"id":"W6924939380","doi":"10.15468/dl.rnxstf","title":"Occurrence Download","year":2022,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"Public Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Download; Range (aeronautics); Set (abstract data type)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007568024,0.0001825469,0.0002044235,0.00006576154,0.001423686,0.0002070355,0.0009960241,0.000266536,0.07464193],"category_scores_gemma":[0.0006610571,0.0002128422,0.000139527,0.0005366001,0.0003842308,0.001523013,0.0004350053,0.0003654894,0.05615906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100401,"about_ca_system_score_gemma":0.0007874387,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0326266,"about_ca_topic_score_gemma":0.000743189,"domain_scores_codex":[0.9979009,0.0002110378,0.0002796801,0.0001895945,0.0009997231,0.0004190862],"domain_scores_gemma":[0.9988595,0.00003618425,0.0003718442,0.000371037,0.0001467573,0.000214697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001919989,0.00002700824,0.0003232967,0.00003048897,0.00001410486,0.000001417951,0.0004776203,0.000002413406,1.380097e-9,0.000006609609,0.9980988,0.0009990489],"study_design_scores_gemma":[0.0001621504,0.00001459601,0.00006983953,6.588764e-7,0.00001819818,7.576341e-7,0.0007458313,9.581004e-9,7.723697e-8,0.000004183099,0.9987604,0.0002232889],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001151596,0.00002138879,5.996315e-7,0.001187305,0.0009332127,0.0002529132,0.9944134,0.00009272588,0.00298325],"genre_scores_gemma":[0.000008820521,0.0002255956,2.225421e-7,0.001554662,0.000003859007,0.000006691207,0.9981987,6.782349e-9,0.000001465443],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.03188341,"threshold_uncertainty_score":0.9998763,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0211485545378728,"score_gpt":0.262940515775424,"score_spread":0.2417919612375513,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}